硝酸钾电解质溶液的结构和热力学性质的计算机分子模拟

对硝酸钾电解质溶液进行了分子动力学计算机模拟研究。水分子采用简单点电荷（SPC）三节点模型，钾离子被看作带电硬球，硝酸根离子采用刚性四节点模型，同时考虑节点间的库仑长程作用和L-J相互作用，对库仑长程作用采用EWALD求和方法进行计算。研究结果表明，随着溶液浓度的增加，水-水相互作用的总势能绝对值升高；高浓度溶液中水水作用能的升高与水分子排列有序化程度的提高有关，即在浓溶液中水分子的偶极取向更加有序化，说明有更多的水分子参与水化。     

Hilbert空间中一类变分不等式的近似解

提出了两种与预解算子有关的迭代序列,得到了Hilbert空间中一类变分不等式的近似解,并证明了迭代序列在各自条件下的强收敛性和弱收敛性.     

The least-square method in complex number domain

The classical least-square method was extended from the real number into the complex number domain, which is called the complex least-square method. The mathematical derivation and its applications show that the complex least-square method is different from one that the real number and the imaginary number are separately calculated with the classical least-square, by which the actual least-square estimation cannot be obtained in practice. Applications of this new method to an arbitrarily given series and to the precipitation in rainy season at 160 meteorological stations in China mainland show advantages of this method over other conventional statistical models.     

fMRI time series analysis based on stationary wavelet and spectrum analysis

The low signal to noise ratio (SNR) of functional MRI (fMRI) prefers more sensitive data analysis methods. Based on stationary wavelet transform and spectrum analysis, a new method with high detective sensitivity was developed for analyzing fMRI time series, which does not require any prior assumption of the characteristics of noises. In the proposed method, every component of fMRI time series in the different time-frequency scales of stationary wavelet transform was discerned by the spectrum analysis, then the components from noises were removed using the stationary wavelet transform, finally the components of real brain activation were detected by cross-correlation analysis. The results obtained from both simulated and in vivo visual experiments illustrated that the proposed method has much higher sensitivity than the traditional cross-correlation method.     

基于时间轴小波变换的运动对象分割算法研究

对时间轴一维小波变换的视频运动对象分割算法进行了研究。将视频序列进行时间轴一维小波变换，利用变换后的高频帧信息提取出初步的运动掩模图像；进行数学形态学后处理，以消除各种噪声的影响和对象的不连通性，得到理想的运动掩模图像。实验结果表明该方法分割效果较好，分割出的运动对象可直接应用于基于对象的视频编码，且算法耗时较少。     

Digital Watermarking Algorithm Based on Wavelet Transform and Neural Network

An effective blind digital watermarking algorithm based on neural networks in the wavelet domain is presented. Firstly, the host image is decomposed through wavelet transform. The significant coefficients of wavelet are selected according to the human visual system （HVS） characteristics. Watermark bits are added to them. And then effectively cooperates neural networks to learn the characteristics of the embedded watermark related to them. Because of the learning and adaptive capabilities of neural networks, the trained neural networks almost exactly recover the watermark from the watermarked image. Experimental results and comparisons with other techniques prove the effectiveness of the new algorithm.     

N-策略M/G/1/∞可修排队系统的队长

可修排队系统是一种重要的排队论模型.讨论服务台可修的N-策略M/G/1/∞排队系统的队长,利用L-S变换和母函数法,得到了任意时刻系统队长的表达式以及系统达到平衡时的队长.     

一种基于小波提升变换的多尺度边缘提取算法

提出了一种基于小波提升变换的改进图像边缘的检测算法.本算法首先对源图像进行小波提升分解,然后分别对高、低频子图像进行边缘提取.对于低频信息使用Canny算子进行边缘检测,而高频信息先用相邻尺度小波系数相乘的方法去除噪声,消噪后再对高频分量进行边缘检测.最后通过一定的融合规则进行融合,得到最终的边缘图像.实验结果表明,该方法具有运算速度快,能有效地抑制噪声,边缘检测精度高等特点,是一种有效的图像边缘提取算法.     

具有饱和传染率的脉冲免疫接种SIRS模型分析

为制定合理的免疫接种策略,有效地防止传染病的产生和蔓延,研究了具有饱和传染率的脉冲免疫接种SIRS模型的动力学行为. 利用Floquet乘子理论和脉冲微分方程比较得到无病周期解的存在性和全局渐近稳定性;利用分支定理得到正周期解存在的分支参数. 结果表明,对于所研究的系统,只有当免疫接种率θ＞θ·,或者脉冲免疫周期τ＜τ·时,疾病消除;而当τ＞τ0时,疾病会周期性地发生,形成地方病.     

氧化栲胶溶液性质的研究

利用溶液的光学性质和渗透性质试验,得出氧化栲胶溶液和栲胶脱硫液属于高分子溶液以及生产上栲胶脱硫液属于胶体溶液的结论。